Ya-Jun Hu

The iFLYTEK system for blizzard machine learning challenge 2017-ES1

Ming Zhou, Zhen-Hua Ling, Li-Juan Liu, 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

Deep belief network-based post-filtering for statistical parametric speech synthesis

Li-Rong Dai, Zhen-Hua Ling, Ya-Jun Hu, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[The noise filtering and baseline correction for harmonic spectrum based on wavelet transform].

Rui Zhang, Yan Wang, Ya-Jun Hu, 2013, Guang pu xue yu guang pu fen xi = Guang pu.

Extracting structural spectral features using what-where auto-encoders for statistical parametric speech synthesis

Li-Rong Dai, Zhen-Hua Ling, Ya-Jun Hu, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The USTC system for blizzard machine learning challenge 2017-ES2

Li-Rong Dai, Zhen-Hua Ling, Li-Juan Liu, 2017, 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

GTDNN-Based Voice Conversion Using DAEs with Binary Distributed Hidden Units

Zhen-Hua Ling, Ya-Jun Hu, Yi-Yang Ding, 2018, 2018 11th International Symposium on Chinese Spoken Language Processing (ISCSLP).

Modeling spectral envelopes using deep conditional restricted Boltzmann machines for statistical parametric speech synthesis

Li-Rong Dai, Zhen-Hua Ling, Xiang Yin, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

DBN-based Spectral Feature Representation for Statistical Parametric Speech Synthesis

Zhen-Hua Ling, Ya-Jun Hu, 2016, IEEE Signal Processing Letters.